pyproject.toml

[build-system]
requires = ["setuptools>=68.0", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "turboquant-vectors"
version = "0.3.0"
description = "Compress and protect embeddings with TurboQuant. Zero-loss privacy via orthogonal rotation + 8x compression. No training needed."
readme = "README.md"
license = {text = "Apache-2.0"}
requires-python = ">=3.10"
authors = [{name = "back2matching"}]
keywords = ["embeddings", "vector-search", "compression", "quantization", "turboquant", "faiss", "rag", "numpy", "privacy", "embedding-privacy", "vec2text", "pinecone", "weaviate", "qdrant"]
classifiers = [
    "Development Status :: 3 - Alpha",
    "License :: OSI Approved :: Apache Software License",
    "Programming Language :: Python :: 3",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = ["numpy>=1.24.0"]

[project.optional-dependencies]
faiss = ["faiss-cpu"]
dev = ["pytest"]

[project.urls]
Homepage = "https://github.com/back2matching/turboquant-vectors"

[project.scripts]
tq-vectors = "turboquant_vectors.cli:main"

[tool.setuptools.packages.find]
include = ["turboquant_vectors*"]